Nutritional Risk and Cancer Pain as Predictors of Radiotherapy-Induced Lymphocytopenia

Mingyue Gao's dataset underpins a study analyzing predictors of severe lymphocytopenia in cancer patients undergoing radiotherapy. It includes data from a retrospective cohort of 97 patients treated in 2022, assessing nutritional risk and cancer pain. The dataset was used to develop and validate a predictive nomogram.

Use Cases

• Predicting severe lymphocytopenia risk based on nutritional risk scores and cancer pain levels.
• Developing personalized intervention strategies for patients undergoing radiotherapy.
• Validating clinical nomograms for immune-related treatment toxicity.
• Analyzing the interaction between baseline symptoms and treatment outcomes.

Strengths

• Dataset is derived from a cohort of 97 cancer patients.
• Predictive model achieved an AUC of 0.77 and was internally validated.
• Includes longitudinal nutritional risk assessments using the NRS-2002 tool.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Dataset is small (12.4 KB), indicating limited scope.

Provenance

Source

figshare

Collection Method

Retrospective cohort analysis of patient records.

Time Range

2022

Freshness

Last updated 2026-05-18 05:31:27; freshness should be verified.